KnockoffTrio: Trio Data Analysis with Knockoff Statistics for FDR Control

Identification of putative causal variants in genome-wide association studies with the trio design. The package implements the methods in the paper: Yang, Y., Wang, C., Liu, L., Buxbaum, J., He, Z., & Ionita-Laza, I. (2022). KnockoffTrio: A knockoff framework for the identification of putative causal variants in genome-wide association studies with trio design. The American Journal of Human Genetics, 109(10), 1761-1776.

Version:	1.0.2
Depends:	R (≥ 2.10)
Published:	2023-12-08
DOI:	10.32614/CRAN.package.KnockoffTrio
Author:	Yi Yang [aut, cre]
Maintainer:	Yi Yang <yi.yang at cityu.edu.hk>
License:	GPL-3
NeedsCompilation:	no
Materials:	README
CRAN checks:	KnockoffTrio results

Documentation:

Reference manual:

KnockoffTrio.pdf

Downloads:

Package source:	KnockoffTrio_1.0.2.tar.gz
Windows binaries:	r-devel: KnockoffTrio_1.0.2.zip, r-release: KnockoffTrio_1.0.2.zip, r-oldrel: KnockoffTrio_1.0.2.zip
macOS binaries:	r-release (arm64): KnockoffTrio_1.0.2.tgz, r-oldrel (arm64): KnockoffTrio_1.0.2.tgz, r-release (x86_64): KnockoffTrio_1.0.2.tgz, r-oldrel (x86_64): KnockoffTrio_1.0.2.tgz
Old sources:	KnockoffTrio archive

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